activity
20152026
most citedExploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Trust Before Autonomy: Rethinking Agentic Remote Sensing for Crisis Response

Georgios Angelidis, Aggelos Psiris, Spyridon Evangelatos +4

Agentic remote sensing is evaluated on how many questions it can answer, whereas crisis response depends on whether its answers can be relied on and how much of the decision can sa…

cs.AI2026

From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond

Spyridon Evangelatos, Christos Diou, Georgios Th. Papadopoulos +2

Interpretable explanation methods in Artificial Intelligence aim to uncover the underlying causes and their effects, enabling a deeper understanding of why a system behaves in a ce…

cs.CV2026

Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions

Spyridon Georgiou, Aggelos Psiris, Spyridon Evangelatos +5

Facial Expression Recognition (FER) has advanced rapidly over the last decade, driven by the shift from handcrafted descriptors and shallow classifiers to deep convolutional, atten…

cs.CV2025

X-ray illicit object detection using hybrid CNN-transformer neural network architectures

Jorgen Cani, Christos Diou, Spyridon Evangelatos +5

In the field of X-ray security applications, even the smallest details can significantly impact outcomes. Objects that are heavily occluded or intentionally concealed pose a great…

cs.AI2025★ 1 cited

Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond

Spyridon Evangelatos, Eleni Veroni, Vasilis Efthymiou +3

Counterfactual explanations have emerged as a prominent method in Explainable Artificial Intelligence (XAI), providing intuitive and actionable insights into Machine Learning model…

cs.AI2024★ 1 cited

CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking

Jorgen Cani, Ioannis Mademlis, Marina Mancuso +19

Modern technologies have led illicit firearms trafficking to partially merge with cybercrime, while simultaneously permitting its off-line aspects to become more sophisticated. Law…

cs.IT2015

Outage and Capacity Comparisons For Ground Relaying Systems Using Stochastic Geometry

Spyridon Evangelatos, Aris L. Moustakas, Andreas Polydoros

Concurrent cooperative transmission for relaying purposes in mobile communication networks is relevant in current institutional systems with limited infrastructure, and and may be…